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reinforcement learning, agent-based modelling and simulation, autonomous decision-making, communication protocols, and applications in robotics, smart grids, and social networks. We consider computer science
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, as well as understanding how these processes shape the labour market. The research outcome will focus on developing an Agent–Human Sandbox platform, based on standardized scenario simulations and
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? No Offer Description We have two exciting PhD positions at the intersection of formal software verification and Large Language Model (LLM) safety, focusing on extending state-of-the-art logic-based
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position within a Research Infrastructure? No Offer Description Want to explore how citizen collectives can drive societal change? Join us as a PhD in using AI-powered agent-based modeling to design adaptive
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Your Job: In the CrowdING project, you will develop agent-based movement models that realistically simulate different behaviors such as lining up, overtaking, or pushing. Based on this, you will
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of the following areas: distributed artificial intelligence, coordination and negotiation, game theory and mechanism design, multi-agent learning and reinforcement learning, agent-based modelling and simulation
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university. We are willing to support applications related to our research on complex systems, network and data science, agent-based models, statistical physics, or computational and mathematical modelling
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consortium also includes industrial and clinical partners. This particular PhD project aims to develop the in-vitro vasculature-on-chip models, microfluidic chips in which controllable and physiologically
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controllability • Learning and calibration strategies for uncertainty-aware language model prediction • Knowledge-augmented and neuro-symbolic approaches for language-based reasoning • Evaluation and design of LLM
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We are seeking a motivated and creative PhD student to explore safe and trustworthy planning under uncertainty in multi-agent systems. They will collaborate on interdisciplinary research which draws